Monte-Carlo planning for unit control in StarCraft

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This paper presents an application of Monte-Carlo planning (MCPlan) to controlling units in a RTS game StarCraft. We apply an e — greedy algorithm to model the opponent in a simulation for improving MCPlan's performance. Experimental results are provided at the end of this paper, which show the potential of MCPlan in this domain.

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